Deep technical guides on AI gateway architecture, LLM failover strategies, cost containment patterns, and sovereign deployment — written for AI engineers and platform teams.
Learn how to configure robust failover routing using Ollama and Selixes AI Gateway. Ensure your enterprise LLM applications remain online even during primary cloud provider outages.
A comprehensive guide to deploying a self-hosted, open-source AI gateway inside an enterprise VPC. Learn how to secure LLM traffic, enforce data sovereignty, and manage keys on-premise.
Learn how to architect a zero-downtime LLM failover system. Prevent OpenAI 503 errors and API timeouts from crashing your AI application using intelligent circuit breakers.
Recursive AI agent loops can drain cloud budgets overnight. Learn how to use AI gateway rate limiting, token budget caps, and token arbitrage to control LLM costs.
Understanding the GDPR compliance challenges of using public LLMs. Discover how a self-hosted, sovereign AI proxy helps EU companies maintain data privacy and pass compliance audits.
Upstream rate limits and token-per-minute (TPM) caps are common bottlenecks in high-volume AI applications. Learn how to design a multi-provider fallback strategy to scale beyond vendor limits.
Deploying LLMs in enterprise settings requires strict compliance. Discover how edge proxies scan prompts in real-time to redact PII and block malicious prompt injections before they reach cloud APIs.
Standard exact-match caching is ineffective for natural language. Learn how semantic caching uses vector embeddings to match similar prompts, reducing API latencies and token costs.